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Maintain persistent project memory for long-running AI work across sessions and agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "recall-loom" yet — see the docs or source repo.
Create project memory files for my local project to track current goals, completed work, key decisions, open issues, and next steps so I can resume development later.
Structured project memory capturing background, progress, decisions, and next actions.
Organize this long-running research task into transferable project memory, including background, hypotheses, validated findings, references, and recommended next steps for another AI model.
A handoff-ready memory document that lets different models or sessions continue seamlessly.
Save this product discussion into project memory, including requirement context, options considered, final decisions, trade-offs, and follow-up action items.
A clear decision log that keeps the team and AI aligned in future sessions.
Retrieve past project decisions and constraints by tracing code changes to conversations.
Store and retrieve long-term memory across agents and sessions.
Give AI coding agents searchable local project memory with safe structured updates.
Provide local-first persistent memory for AI agents across projects.
Give AI assistants persistent project memory that can be queried and taught.
Let VS Code agents search and reuse context from your LLMemory vault.